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Big data ethics, also known simply as data ethics, refers to systemizing, defending, and recommending concepts of right and wrong conduct in relation to data, in particular personal data. [1] Since the dawn of the Internet the sheer quantity and quality of data has dramatically increased and is continuing to do so exponentially.
This is where I think there is a poignant opportunity for those collecting data to more ethically partner with communities, activists, and organizers to create equitable and impactful programming ...
Data collection or data gathering is the process of gathering and measuring information on targeted variables in an established system, which then enables one to answer relevant questions and evaluate outcomes. Data collection is a research component in all study fields, including physical and social sciences, humanities, [2] and business ...
In most social experiments, the subjects are unaware that they are partaking in an experiment as to prevent bias; however, this may bring ethical issues (see ethics section). Several "actors" or "plants" are used to study social behaviors. Companies have also used social experiments to collect consumer data and their opinions about a product or ...
With data processing technology flourishing, it allows for the company to make specific marketing campaigns for each of their individual customers. [26] Data collection and surveillance infrastructure has allowed companies to micro-target specific groups and tailor advertisements for certain populations. [30]
The advent of social media has recently led to new online research methods, for example data mining of large datasets from such media [6] or web-based experiments within social media that are entirely under the control of researchers, e.g. those created with the software Social Lab. [7]
The PDPA establishes a data protection law that comprises various rules governing the collection, use, disclosure and care of personal data. Access to personal data is laid out as part of Part IV, chapter 21 which states that on request of an individual, an organization shall, as soon as reasonably possible, provide the individual with: [9]
However, data has to be of high quality to be used as a business asset for creating a competitive advantage. Therefore, data governance is a critical element of data collection and analysis since it determines the quality of data while integrity constraints guarantee the reliability of information collected from data sources.